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Equivalence and Synthesis of Causal Models
Abstract
chapter Share on Equivalence and Synthesis of Causal Models Authors: TS Verma Search about this author , Judea Pearl Search about this author Authors Info & Claims Probabilistic and Causal Inference: The Works of Judea PearlFebruary 2022 Pages 221–236https://doi.org/10.1145/3501714.3501732Online:04 March 2022Publication History 0citation22DownloadsMetricsTotal Citations0Total Downloads22Last 12 Months22Last 6 weeks7 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
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Cites
The Method of Path Coefficients
Wright, S. (1934) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177732676 · Cited by 2,349
Identifying independence in bayesian networks
Geiger, D., Verma, T., & Pearl, J. (1990) · Networks · doi:10.1002/net.3230200504 · Cited by 510
Self-citationIntroduction to Structural Equation Models
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Barnes, J. A., & Blalock, H. M. (1972) · The Economic Journal · doi:10.2307/2231327 · Cited by 160
Research works printed but not linked: 12
- [Geiger D. Geiger , T.S. Verma and J. Pearl , d–Separation: From Theorems to Algorithms , Proceedings, 5th Workshop on Uncertainty in AI , Windsor, Ontario, Canada , August 1989 , pp. 118 - 124 . [Geiger et al 89] D. Geiger, T.S. Verma and J. Pearl, d–Separation: From Theorems to Algorithms, Proceedings, 5th Workshop on Uncertainty in AI, Windsor, Ontario, Canada, August 1989, pp. 118-124.
- [Geiger and Pearl 90] D. Geiger and J. Pearl , Logical and Algorithmic Properties of Independence and Their Application to Bayesian Networks, Annals of Mathematics and AI , vol. 2 no. 1-4 pp 165 - 178 , 1990 . [Geiger and Pearl 90] D. Geiger and J. Pearl, Logical and Algorithmic Properties of Independence and Their Application to Bayesian Networks, Annals of Mathematics and AI, vol. 2 no. 1-4 pp 165-178, 1990.
- [Glymour 1987] C. Glymour , R. Scheines, P. Spirtes and K. Kelly. Discovering Causal Structure . Academic Press , New York , 1987 . [Glymour et al 1987] C. Glymour, R. Scheines, P. Spirtes and K. Kelly. Discovering Causal Structure. Academic Press, New York, 1987.
- [Howard and Matheson 81] R.A. Howard and J.E. Matheson , Influence Diagrams , chapter 8, in The Principles and Applications of Decision Analysis, Vol . II, Strategic Decisions Group , Menlo Park, California, 1981 . [Howard and Matheson 81] R.A. Howard and J.E. Matheson, Influence Diagrams, chapter 8, in The Principles and Applications of Decision Analysis, Vol. II, Strategic Decisions Group, Menlo Park, California, 1981.
- [Pearl 89] J. Pearl , D. Geiger and T.S. Verma, The Logic of Influence Diagrams, in R.M. Oliver and J.Q. Smith (Eds), Influence Diagrams, Belief Networks and Decision Analysis , John Wiley and Sons, Ltd. , Sussex, England 1990 . A shorter version, in Kybernetica, Vol. 25: 2 , 1989, pp. 33 - 44 . [Pearl et al 89] J. Pearl, D. Geiger and T.S. Verma, The Logic of Influence Diagrams, in R.M. Oliver and J.Q. Smith (Eds), Influence Diagrams, Belief Networks and Decision Analysis, John Wiley and Sons, Ltd., Sussex, England 1990. A shorter version, in Kybernetica, Vol. 25:2, 1989, pp. 33-44.
- 10.5555/52121 · doi:10.5555/52121
- [Pearl and Verma 87] J. Pearl and T.S. Verma , The Logic of Representing Dependencies by Directed Graphs , Proceedings, AAAI Conference , Seattle, WA. July , 1987 , pp. 374 - 379 . [Pearl and Verma 87] J. Pearl and T.S. Verma, The Logic of Representing Dependencies by Directed Graphs, Proceedings, AAAI Conference, Seattle, WA. July, 1987, pp. 374-379.
- [Pearl and Verma 91] J. Pearl and T.S. Verma , A Theory of Inferred Causation , in J. A. Allen, R. Fikes and E. Sandwall (editors) Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference. San Mateo: Morgan Kaufmann. April l991 , pp. 441 - 452 . [Pearl and Verma 91] J. Pearl and T.S. Verma, A Theory of Inferred Causation, in J. A. Allen, R. Fikes and E. Sandwall (editors) Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference. San Mateo: Morgan Kaufmann. April l991, pp. 441-452.
- [Shachter 85] R.D. Shachter , Evaluating Influence Diagrams , in A.P. Basu (Eds) , Reliability and Quality Control, Elsevier , 1985 , pp. 321 - 344 . [Shachter 85] R.D. Shachter, Evaluating Influence Diagrams, in A.P. Basu (Eds), Reliability and Quality Control, Elsevier, 1985, pp. 321-344.
- [Spirtes P. Spirtes , C. Glymour and R. Scheines , Causality from Probability, in G. McKee, ed ., Evolving Knowledge in Natural and Artificial Intelligence , Pitman , 1990 . [Spirtes et al 90] P. Spirtes, C. Glymour and R. Scheines, Causality from Probability, in G. McKee, ed., Evolving Knowledge in Natural and Artificial Intelligence, Pitman, 1990.
- 10.1214/aos/1176347132 · doi:10.1214/aos/1176347132
- [Verma and Pearl 90] T.S. Verma and J. Pearl , Causal Networks: Semantics and Expressiveness , in Uncertainty in AI 4, R. Shachter, T.S. Levitt and L.N. Kanal (eds) , Elsevier Science Publishers , 1990 , pp. 69 - 76 . [Verma and Pearl 90] T.S. Verma and J. Pearl, Causal Networks: Semantics and Expressiveness, in Uncertainty in AI 4, R. Shachter, T.S. Levitt and L.N. Kanal (eds), Elsevier Science Publishers, 1990, pp. 69-76.
Cited by
Causation, Prediction, and Search
Spirtes, P., Glymour, C., & Scheines, R. (1993) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-2748-9 · Cited by 4,617
Principles and practice in reporting structural equation analyses.
McDonald, R. P., & Ho, M.-H. R. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.64 · Cited by 4,734
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
Heckerman, D., Geiger, D., & Chickering, D. M. (1995) · Machine Learning · doi:10.1023/a:1022623210503 · Cited by 3,231
Learning Bayesian Networks with the bnlearnR Package
Scutari, M. (2010) · Journal of Statistical Software · doi:10.18637/jss.v035.i03 · Cited by 1,733
Bayesian Artificial Intelligence
Korb, K. B., & Nicholson, A. E. (2003) · Chapman & Hall/CRC eBooks · doi:10.1201/9780203491294 · Cited by 1,014
Metadata
- Authors
- Verma, T., & Pearl, J.
- Venue
- Probabilistic and Causal Inference
- Publisher
- ACM
- Published
- 2022-02-28
- Pages
- 221-236
- OpenAlex
- W1568555062
- Cited by
- 964
- References
- 4
- FWCI
- 48.00
- Type
- book chapter
- Language
- en
- Open access
- closed
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